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Research On Key Technologies Of Communication Network For Smart Power Distribution And Utilization

Posted on:2015-02-06Degree:DoctorType:Dissertation
Country:ChinaCandidate:G J GongFull Text:PDF
GTID:1222330470970967Subject:Electrical information technology
Abstract/Summary:PDF Full Text Request
The power distribution and utilization communication network supports two important power production processes, which are power "distribution" and "utilization". It’s the key to achieve "Bidirectional data interaction as a foundation, fine intelligent management" of smart grid. Currently, there is a lack of systematic research for power distribution and utilization communication network in both domestic and abroad academic area. Therefore, based on the power distribution and utilization network structure and the distribution of service access node, we construct power distribution and utilization network context model with various communication media, and investigate the power distribution and utilization service model, resource optimization allocation and node deployment. After that, intelligent congestion management and traffic balancing of the power distribution and utilization network can be achieved to improve the QoS for distribution and utilization system applications.Firstly, we analyze the service properties and flow characteristics of power distribution and utilization and propose the static priority CoS and QoS parameters based on the multi-media fusion scenarios and service section model of power distribution and utilization network. Then, we establish power distribution and utilization service model based on the weighted fairness QoS scheduling parameters, which is formed by multi-attribute judgment based on AHP, it’s good for the dynamic adjustment of business weight and the rational allocation of resources.Secondly, with the use of cross-layer scheduling approach, we consider the transmission power and throughput indicators of physical layer, latency and packet loss rate indicators of link layer and the service model of the application layer, to improve the system resource utilization and resource allocation fairness. First, we propose a cross-layer resource allocation algorithm which is based on user priority and is combined with business fairness in a single-OFDM cycle, so that we can ensure the user fairness together with the QoS requirements. Second, we also propose a long cycle (multiple OFDM cycles) resource allocation optimization cross-layer resource allocation algorithm based on mixed-service fairness, which is combined with inter-service bit-rate adaptation, so that we can meet the multi-objectives requirements of multi-user multi-service resource allocation. At last, two distributed resource allocation algorithms, which are relay type and complex type, of multi-gateway OFDM2A system are proposed based on the analysis of distributed resource allocation under single gateway. Resource allocation is taken between subcarrier and power resource, in these algorithms, the main gateway node allocates the physical channel to the sub-gateway first, and then the sub-gateway will allocates it to business users, and finally by increasing the second-level cache and the judgment of load factor of sub-gateway to achieve network load balancing, and ultimately achieve the maximizes system throughput under the premise of the guarantee of QoS of each business.Finally, due to limited energy, the node of wireless sensor networks is easy to premature failure in achieving extended coverage of communication network. To solve this problem, we proposed a "chain distribution mainly, ring type reticular subsidiary" weak cyclic model which should be used in wireless sensor network. The AODV planar routing algorithm is studied with weak ring deployment. We also proposed a distributed model of three-dimensional mesh using non-uniform cellular adopted by wireless sensor networks, and then studied and improved the non-uniform cellular clustering LEACH three-dimensional routing algorithm.
Keywords/Search Tags:power distribution and utilization communication, resource allocation, cross-layer scheduling, fairness, multi-gateway model, routing optimization
PDF Full Text Request
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